Results 121 to 130 of about 32,207 (198)

Reviewing the Levee Effect: From Theory to Practice

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Ongoing development in flood‐prone areas has intensified focus on flood‐risk management strategies. Constructed flood protections, like levees, lead to a false sense of security. Resulting development behind levees paradoxically increases flood risk, referred to as the levee effect.
Angela J. Catalano, Damon M. Hall
wiley   +1 more source

Landslide susceptibility evaluation in the Beas River Basin of North-Western Himalaya: A geospatial analysis employing the Analytical Hierarchy Process (AHP) method

Quaternary Science Advances
In the North-Western Himalayas, particularly within the Beas Basin of Himachal Pradesh, landslide incidents are frequent, primarily due to the unique interplay of adverse geological conditions, heavy rainfall, and human factors. These incidents result in
Madhulika Singh, Varun Khajuria, Sachchidanand Singh, Kamal Singh   +3 more
doaj   +1 more source

Study on landslide susceptibility mapping based on rock-soil characteristic factors. [PDF]

Sci Rep, 2021
Yu X, Zhang K, Song Y, Jiang W, Zhou J.
europepmc   +1 more source

Regional Flood Emergency Capacity Assessment Based on a Multidimensional Framework

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Knowing the status of emergency capacity for disaster risk reduction helps the government and stakeholders to minimize vulnerabilities and disaster risk. However, there is no widely applied methodology for emergency capacity assessment. This study develops a multidimensional framework integrating vulnerability, susceptibility, and adaptability
Xuezhi Tan, Yi Wu, Xiangjiao Li, Xudong Li, Lixiang Song, Fang Yang   +5 more
wiley   +1 more source

Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique. [PDF]

Sensors (Basel), 2022
Hussain MA, Chen Z, Zheng Y, Shoaib M, Shah SU, Ali N, Afzal Z.   +6 more
europepmc   +1 more source

Integrated Hydrological and Hydrodynamic Modeling for Mountainous Flooding—A Case Study in China

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT Flooding in mountain regions has caused significant economic loss globally. Due to the complexity of mountainous flooding, that is, heavy runoff, landslides and debris flow, and limited monitoring data, it is extremely difficult to simulate and predict such events.
Jin Ni, Lanting Zeng, Haohao Wu, Xiaolei Huang, Peng Wu   +4 more
wiley   +1 more source

Exploring Bayesian network model with noise filtering for rainfall-induced landslide susceptibility assessment in Fujian, China

Frontiers in Earth Science
Machine learning models have been increasingly popular in landslide susceptibility mapping based on the correlations among landslides and their inducing factors. However, mislabeled data in model training sets would deteriorate model accuracy. This study
Suhua Zhou, Suhua Zhou, Suhua Zhou, Jinfeng Li, Jinfeng Li, Jiuchang Zhang, Zhiwen Xu, Zhiwen Xu, Xianzhui Lu   +8 more
doaj   +1 more source

Optimizing Machine Learning Algorithms for Landslide Susceptibility Mapping along the Karakoram Highway, Gilgit Baltistan, Pakistan: A Comparative Study of Baseline, Bayesian, and Metaheuristic Hyperparameter Optimization Techniques. [PDF]

Sensors (Basel), 2023
Abbas F, Zhang F, Ismail M, Khan G, Iqbal J, Alrefaei AF, Albeshr MF.   +6 more
europepmc   +1 more source

An Integrated Approach to Determine Appropriate Stormwater Management Strategies for Urban Areas With Various Land‐Uses: The Case of Güneysu

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT This study focuses on a multi‐criteria decision‐making (MCDM) analysis backed by EPA's SWMM (storm water management model) to investigate stormwater management (SM) strategies for urban areas consisting of different land‐use types. Güneysu city center (Rize, Türkiye) is used to exemplify areas consisting of impermeable surfaces, blocks of ...
Fatih Bekiryazici, Ali Köseoğlu, Zafer Bekiryazici, Cengiz Acar   +3 more
wiley   +1 more source

A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran. [PDF]

Sensors (Basel), 2022
Ghasemian B, Shahabi H, Shirzadi A, Al-Ansari N, Jaafari A, Kress VR, Geertsema M, Renoud S, Ahmad A.   +8 more
europepmc   +1 more source